{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from testCases import*\n",
    "import sklearn\n",
    "import sklearn.datasets\n",
    "import sklearn.linear_model\n",
    "from planar_utils import plot_decision_boundary, sigmoid, load_planar_dataset, load_extra_datasets\n",
    "\n",
    "%matplotlib inline\n",
    "\n",
    "np.random.seed(1) # 设置一个固定的随机种子"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "X.shape=(2, 400)\n",
      "Y.shape=(1, 400)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x244c5df15c0>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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CQpt54uPnau9wkFIi9Dp0DkacA73o+MzNOAf5oHcyojPoa6S+vsZ+tB67RlMLLPlFrBrw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\nYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x244c5d64668>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 加载数据集\n",
    "X, Y = load_planar_dataset()\n",
    "\n",
    "print(\"X.shape=\"+str(X.shape))\n",
    "print(\"Y.shape=\"+str(Y.shape))\n",
    "\n",
    "# 对数据进行可视化\n",
    "plt.scatter(X[0, :], X[1, :], c=np.squeeze(Y), s=4, cmap=plt.cm.Spectral) #绘制散点图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:547: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  y = column_or_1d(y, warn=True)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "LogisticRegressionCV(Cs=10, class_weight=None, cv=None, dual=False,\n",
       "           fit_intercept=True, intercept_scaling=1.0, max_iter=100,\n",
       "           multi_class='ovr', n_jobs=1, penalty='l2', random_state=None,\n",
       "           refit=True, scoring=None, solver='lbfgs', tol=0.0001, verbose=0)"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 使用逻辑回归观察表现\n",
    "clf = sklearn.linear_model.LogisticRegressionCV()\n",
    "clf.fit(X.T, Y.T)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "逻辑回归的准确性： 47 % (正确标记的数据点所占的百分比)\n"
     ]
    },
    {
     "data": {
      "image/png": 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Jzqy/mf2Moa/1FtjFNNLL6Mew8yP0NRRPzL3KwwunSfkixMwMwVtUyxxbvsSp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\nBIVCoVDk+P8B2BAvSDnlqLAAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x244c6d7c470>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_decision_boundary(lambda x: clf.predict(x), X, Y) # 绘制决策边界\n",
    "plt.title(\"Logistic Regression\") # 图标题\n",
    "LR_predictions = clf.predict(X.T) # 预测结果\n",
    "print (\"逻辑回归的准确性： %d \" % float((np.dot(Y,LR_predictions) + \n",
    "                            np.dot(1-Y, 1-LR_predictions)) / float(Y.size)*100) +\n",
    "      \"% \" + \"(正确标记的数据点所占的百分比)\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# 构建神经网络结构\n",
    "def layer_sizes(X, Y):\n",
    "    \"\"\"\n",
    "    参数：\n",
    "        X ：输入数据集，维度为（输入的数量，训练/测试的数量）\n",
    "        Y ：标签，维度为（输出的数量，训练/测试数量）\n",
    "    \n",
    "    返回：\n",
    "        n_x ：输入层数量\n",
    "        n_y : 输出层数量\n",
    "        n_h : 隐藏层数量\n",
    "    \"\"\"\n",
    "    n_x = X.shape[0] # 输入层\n",
    "    n_h = 4 # 隐藏层\n",
    "    n_y = Y.shape[0] #输出层\n",
    "    \n",
    "    return (n_x, n_h, n_y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "=========================测试layer_sizes=========================\n",
      "输入层的节点数量为: n_x = 5\n",
      "隐藏层的节点数量为: n_h = 4\n",
      "输出层的节点数量为: n_y = 2\n"
     ]
    }
   ],
   "source": [
    "# 测试layer_sizes\n",
    "print(\"=========================测试layer_sizes=========================\")\n",
    "X_asses , Y_asses = layer_sizes_test_case()\n",
    "(n_x,n_h,n_y) =  layer_sizes(X_asses,Y_asses)\n",
    "print(\"输入层的节点数量为: n_x = \" + str(n_x))\n",
    "print(\"隐藏层的节点数量为: n_h = \" + str(n_h))\n",
    "print(\"输出层的节点数量为: n_y = \" + str(n_y))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# 初始化模型参数\n",
    "def initialize_parameters(n_x, n_h, n_y):\n",
    "    \"\"\"\n",
    "    参数：\n",
    "        n_x 输入节点的数量\n",
    "        n_h 隐藏节点的数量\n",
    "        n_y 输出节点的数量\n",
    "    返回：\n",
    "        parameters 包含参数的字典\n",
    "            W1 权重矩阵，维度为（n_h, n_x）\n",
    "            b1 偏向量，维度为（n_h, 1）\n",
    "            W2 权重矩阵，维度为（n_y, n_h）\n",
    "            b1 偏向量，维度为（n_y, 1）\n",
    "    \"\"\"\n",
    "    np.random.seed(2) # 指定一个随机种子\n",
    "    W1 = np.random.randn(n_h, n_x) * 0.01 # 随机初始化一个维度为（n_h, n_x）的矩阵\n",
    "    b1 = np.zeros(shape=(n_h, 1))\n",
    "    W2 = np.random.randn(n_y, n_h) * 0.01\n",
    "    b2 = np.zeros(shape=(n_y, 1))\n",
    "    \n",
    "    # 使用断言判断格式是否正确\n",
    "    assert(W1.shape == (n_h, n_x))\n",
    "    assert(b1.shape == (n_h, 1))\n",
    "    assert(W2.shape == (n_y, n_h))\n",
    "    assert(b2.shape == (n_y, 1))\n",
    "    \n",
    "    parameters = {\"W1\" : W1,\n",
    "                  \"b1\" : b1,\n",
    "                  \"W2\" : W2,\n",
    "                  \"b2\" : b2}\n",
    "    return parameters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "=======================测试initialize_parameters模型========================\n",
      "W1 = [[-0.00416758 -0.00056267]\n",
      " [-0.02136196  0.01640271]\n",
      " [-0.01793436 -0.00841747]\n",
      " [ 0.00502881 -0.01245288]]\n",
      "b1 = [[ 0.]\n",
      " [ 0.]\n",
      " [ 0.]\n",
      " [ 0.]]\n",
      "W2 = [[-0.01057952 -0.00909008  0.00551454  0.02292208]]\n",
      "b2 = [[ 0.]]\n"
     ]
    }
   ],
   "source": [
    "# 测试初始化模型\n",
    "print(\"=======================测试initialize_parameters模型========================\")\n",
    "n_x, n_h, n_y = initialize_parameters_test_case()\n",
    "parameters = initialize_parameters(n_x, n_h, n_y)\n",
    "print(\"W1 = \" + str(parameters[\"W1\"]))\n",
    "print(\"b1 = \" + str(parameters[\"b1\"]))\n",
    "print(\"W2 = \" + str(parameters[\"W2\"]))\n",
    "print(\"b2 = \" + str(parameters[\"b2\"]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [],
   "source": [
    "def forward_propagation(X, parameters):\n",
    "    \"\"\"\n",
    "    参数：\n",
    "        X 维度为（n_x, m）的输入数据\n",
    "        parameters 初始化函数（initialize_parameters）的输出\n",
    "        \n",
    "    返回：\n",
    "        A2 使用sigmide()函数计算的第二次激活后的数值\n",
    "        cache 包含“Z1”，“Z2”，“A1”和“A2”的字典类型变量\n",
    "    \"\"\"\n",
    "    W1 = parameters[\"W1\"]\n",
    "    W2 = parameters[\"W2\"]\n",
    "    b1 = parameters[\"b1\"]\n",
    "    b2 = parameters[\"b2\"]\n",
    "    \n",
    "    # 前向传播计算A2\n",
    "    Z1 = np.dot(W1, X) + b1\n",
    "    A1 = np.tanh(Z1)\n",
    "    Z2 = np.dot(W2, A1) + b2\n",
    "    A2 = sigmoid(Z2)\n",
    "    \n",
    "    # 使用断言判断格式\n",
    "    assert(A2.shape == (1, X.shape[1]))\n",
    "    cache = {\"Z1\" : Z1,\n",
    "             \"Z2\" : Z2,\n",
    "             \"A1\" : A1,\n",
    "             \"A2\" : A2}\n",
    "    return (A2, cache)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "=================测试forward_proagation===================\n",
      "-0.000499755777742 -0.000496963353232 0.000438187450959 0.500109546852\n"
     ]
    }
   ],
   "source": [
    "# 测试forward_proagation()\n",
    "print(\"=================测试forward_proagation===================\")\n",
    "X_asses, parameters = forward_propagation_test_case()\n",
    "A2, cache = forward_propagation(X_asses, parameters)\n",
    "print(np.mean(cache[\"Z1\"]),np.mean(cache[\"A1\"]),np.mean(cache[\"Z2\"]),np.mean(cache[\"A2\"]) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 计算交叉熵损失\n",
    "def compute_cost(A2, Y, parameters):\n",
    "    \"\"\"\n",
    "    参数：\n",
    "        A2 使用sigmoid()函数计算的第二次激活后的值\n",
    "        Y 标签向量，维度为（1， 数量）\n",
    "        parameters 包含W1,b1,W2和b2的字典类型的变量\n",
    "    返回：\n",
    "        成本 交叉熵损失\n",
    "    \"\"\"\n",
    "    m = Y.shape[1]\n",
    "    W1 = parameters[\"W1\"]\n",
    "    W2 = parameters[\"W2\"]\n",
    "    \n",
    "    # 计算成本\n",
    "    logprobs = np.multiply(np.log(A2), Y) + np.multiply(np.log(1-A2), (1-Y))\n",
    "    cost = - np.sum(logprobs) / m\n",
    "    cost = float(np.squeeze(cost))\n",
    "    \n",
    "    assert(isinstance(cost, float))\n",
    "    return cost"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "===================测试compute_cost=====================\n",
      "cost=0.6929198937761266\n"
     ]
    }
   ],
   "source": [
    "# 测试compute_cost()\n",
    "print(\"===================测试compute_cost=====================\")\n",
    "A2, Y_asses, parameters = compute_cost_test_case()\n",
    "print(\"cost=\" + str(compute_cost(A2, Y_asses, parameters)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# 反向传播\n",
    "def backward_propagation(parameters, cache, X, Y):\n",
    "    \"\"\"\n",
    "    参数：\n",
    "        parameters 包含参数的一个字典型变量\n",
    "        cache 包含“Z1”，“A1”，“Z2”和“A2”的字典类型的变量\n",
    "        X 输入数据，维度为（2， 数量）\n",
    "        Y 标签，维度为（1，数量）\n",
    "    返回\n",
    "        grads 包含W和b的一个字典型变量\n",
    "    \"\"\"\n",
    "    m = X.shape[1]\n",
    "    \n",
    "    W1 = parameters[\"W1\"]\n",
    "#     b1 = parameters[\"b1\"]\n",
    "    W2 = parameters[\"W2\"]\n",
    "#     b2 = parameters[\"b2\"]\n",
    "    \n",
    "    A1 = cache[\"A1\"]\n",
    "    A2 = cache[\"A2\"]\n",
    "    \n",
    "    dZ2 = A2 - Y\n",
    "    dW2 = (1 / m) * np.dot(dZ2, A1.T)\n",
    "    db2 = (1 / m) * np.sum(dZ2, axis=1, keepdims=True)\n",
    "    dZ1 = np.multiply(np.dot(W2.T, dZ2), 1 - np.power(A1, 2))\n",
    "    dW1 = (1 / m) * np.dot(dZ1, X.T)\n",
    "    db1 = (1 / m) * np.sum(dZ1, axis=1, keepdims=True)\n",
    "    grads = {\"dW1\" : dW1,\n",
    "             \"db1\" : db1,\n",
    "             \"dW2\" : dW2,\n",
    "             \"db2\" : db2}\n",
    "    \n",
    "    return grads   "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "====================测试backward_propagation=======================\n",
      "dW1 = [[ 0.01018708 -0.00708701]\n",
      " [ 0.00873447 -0.0060768 ]\n",
      " [-0.00530847  0.00369379]\n",
      " [-0.02206365  0.01535126]]\n",
      "db1 = [[-0.00069728]\n",
      " [-0.00060606]\n",
      " [ 0.000364  ]\n",
      " [ 0.00151207]]\n",
      "dW2 = [[ 0.00363613  0.03153604  0.01162914 -0.01318316]]\n",
      "db2 = [[ 0.06589489]]\n"
     ]
    }
   ],
   "source": [
    "# 测试backward_propagation\n",
    "print(\"====================测试backward_propagation=======================\")\n",
    "parameters, cache, X_asses, Y_asses = backward_propagation_test_case()\n",
    "\n",
    "grads = backward_propagation(parameters, cache, X_asses, Y_asses)\n",
    "print(\"dW1 = \" + str(grads[\"dW1\"]))\n",
    "print(\"db1 = \" + str(grads[\"db1\"]))\n",
    "print(\"dW2 = \" + str(grads[\"dW2\"]))\n",
    "print(\"db2 = \" + str(grads[\"db2\"]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# 更新参数\n",
    "def update_parameters(parameters, grads, learning_rate = 1.2):\n",
    "    \"\"\"\n",
    "    参数：\n",
    "        parameters 包含参数的字典类型变量\n",
    "        grads 包含导数值的字典类型变量\n",
    "        learning_rate 学习率\n",
    "    返回：\n",
    "        parameters 包含更新参数后的字典类型变量\n",
    "    \"\"\"\n",
    "    \n",
    "    W1, W2 = parameters[\"W1\"], parameters[\"W2\"]\n",
    "    b1, b2 = parameters[\"b1\"], parameters[\"b2\"]\n",
    "    \n",
    "    dW1, dW2 = grads[\"dW1\"], grads[\"dW2\"]\n",
    "    db1, db2 = grads[\"db1\"], grads[\"db2\"]\n",
    "    \n",
    "    W1 = W1 - learning_rate * dW1\n",
    "    W2 = W2 - learning_rate * dW2\n",
    "    b1 = b1 - learning_rate * db1\n",
    "    b2 = b2 - learning_rate * db2\n",
    "    \n",
    "    parameters={\"W1\" : W1,\n",
    "                \"b1\" : b1,\n",
    "                \"W2\" : W2,\n",
    "                \"b2\" : b2}\n",
    "    return parameters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "W1=[[-0.00643025  0.01936718]\n",
      " [-0.02410458  0.03978052]\n",
      " [-0.01653973 -0.02096177]\n",
      " [ 0.01046864 -0.05990141]]\n",
      "b1=[[ -1.02420756e-06]\n",
      " [  1.27373948e-05]\n",
      " [  8.32996807e-07]\n",
      " [ -3.20136836e-06]]\n",
      "W2=[[-0.01041081 -0.04463285  0.01758031  0.04747113]]\n",
      "b2=[[ 0.00010457]]\n"
     ]
    }
   ],
   "source": [
    "# 测试update_parameters\n",
    "parameters, grads = update_parameters_test_case()\n",
    "parameters = update_parameters(parameters, grads)\n",
    "\n",
    "print(\"W1=\" + str(parameters[\"W1\"]))\n",
    "print(\"b1=\" + str(parameters[\"b1\"]))\n",
    "print(\"W2=\" + str(parameters[\"W2\"]))\n",
    "print(\"b2=\" + str(parameters[\"b2\"]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def nn_model(X, Y, n_h, num_iterations, print_cost = False):\n",
    "    \"\"\"\n",
    "    参数：\n",
    "        X 数据集，维度为（2， 示例数）\n",
    "        Y 标签，维度为（1， 示例数）\n",
    "        n_h 隐藏层的数量\n",
    "        num_iterations 梯度下降循环中的循环次数\n",
    "        print_cost 如果为True，则每1000次迭代打印一次成本数值\n",
    "    返回：\n",
    "        parameters 学习模型的参数，用它们来进行预测\n",
    "    \"\"\"\n",
    "    np.random.seed(3) # 指定随机种子\n",
    "    n_x = layer_sizes(X, Y)[0]\n",
    "    n_y = layer_sizes(X, Y)[2]\n",
    "    \n",
    "    parameters = initialize_parameters(n_x, n_h, n_y)\n",
    "    W1 = parameters[\"W1\"]\n",
    "    b1 = parameters[\"b1\"]\n",
    "    W2 = parameters[\"W2\"]\n",
    "    b2 = parameters[\"b2\"]\n",
    "    \n",
    "    for i in range(num_iterations):\n",
    "        A2, cache = forward_propagation(X, parameters)\n",
    "        cost = compute_cost(A2, Y, parameters)\n",
    "        grads = backward_propagation(parameters, cache, X, Y)\n",
    "        parameters = update_parameters(parameters, grads, learning_rate=0.05)\n",
    "        \n",
    "        if print_cost:\n",
    "            if i%1000 == 0:\n",
    "                print(\"第 \", i, \"次循环，成本为\" + str(cost))\n",
    "    return parameters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "===============测试nn_model=================\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:16: RuntimeWarning: divide by zero encountered in log\n",
      "  app.launch_new_instance()\n",
      "E:\\Jupyter\\Deepling AI\\Week 3 - PA 2 - Planar data classification with one hidden layer\\planar_utils.py:25: RuntimeWarning: overflow encountered in exp\n",
      "  s = 1/(1+np.exp(-x))\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "W1=[[-3.89167767  4.77541602]\n",
      " [-6.77960338  1.20272585]\n",
      " [-3.88338966  4.78028666]\n",
      " [ 6.77958203 -1.20272574]]\n",
      "b1=[[ 2.11530892]\n",
      " [ 3.41221357]\n",
      " [ 2.11585732]\n",
      " [-3.41221322]]\n",
      "W2=[[-2512.9093032  -2502.70799785 -2512.01655969  2502.65264416]]\n",
      "b2=[[-22.29071761]]\n"
     ]
    }
   ],
   "source": [
    "# 测试nn_model\n",
    "print(\"===============测试nn_model=================\")\n",
    "X_asses, Y_asses = nn_model_test_case()\n",
    "\n",
    "parameters = nn_model(X_asses, Y_asses, 4, num_iterations=10000, print_cost=False)\n",
    "\n",
    "print(\"W1=\" + str(parameters[\"W1\"]))\n",
    "print(\"b1=\" + str(parameters[\"b1\"]))\n",
    "print(\"W2=\" + str(parameters[\"W2\"]))\n",
    "print(\"b2=\" + str(parameters[\"b2\"]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# 预测\n",
    "def predict(parameters, X):\n",
    "    \"\"\"\n",
    "    参数：\n",
    "        parameters 包含参数的字典类型的变量\n",
    "        X 输入数据（n_x, m）\n",
    "    返回：\n",
    "        prediction 模型预测的向量（红色：0/蓝色：1）\n",
    "    \"\"\"\n",
    "    A2, cache = forward_propagation(X, parameters)\n",
    "    prediction = np.round(A2)\n",
    "    \n",
    "    return prediction"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "=========================测试predict=========================\n",
      "预测的平均值 = 0.666666666667\n"
     ]
    }
   ],
   "source": [
    "#测试predict\n",
    "print(\"=========================测试predict=========================\")\n",
    "\n",
    "parameters, X_assess = predict_test_case()\n",
    "\n",
    "predictions = predict(parameters, X_assess)\n",
    "print(\"预测的平均值 = \" + str(np.mean(predictions)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "第  0 次循环，成本为0.6930480201239823\n",
      "第  1000 次循环，成本为0.3098018601352803\n",
      "第  2000 次循环，成本为0.2924326333792646\n",
      "第  3000 次循环，成本为0.2833492852647412\n",
      "第  4000 次循环，成本为0.27678077562979253\n",
      "第  5000 次循环，成本为0.26347155088593144\n",
      "第  6000 次循环，成本为0.24204413129940763\n",
      "第  7000 次循环，成本为0.23552486626608762\n",
      "第  8000 次循环，成本为0.23140964509854278\n",
      "第  9000 次循环，成本为0.22846408048352365\n",
      "第  10000 次循环，成本为0.22618596442552621\n",
      "第  11000 次循环，成本为0.22433396831991878\n",
      "第  12000 次循环，成本为0.22277683894021222\n",
      "第  13000 次循环，成本为0.22143562034302341\n",
      "第  14000 次循环，成本为0.22025881798488608\n",
      "第  15000 次循环，成本为0.219211255282511\n",
      "第  16000 次循环，成本为0.21826898800675665\n",
      "第  17000 次循环，成本为0.21741576507251686\n",
      "第  18000 次循环，成本为0.21663975930881296\n",
      "第  19000 次循环，成本为0.2159315388239913\n",
      "第  20000 次循环，成本为0.21528318622387338\n",
      "第  21000 次循环，成本为0.21468791890292035\n",
      "第  22000 次循环，成本为0.21413987810119145\n",
      "第  23000 次循环，成本为0.2136339800015628\n",
      "第  24000 次循环，成本为0.2131657976873604\n",
      "第  25000 次循环，成本为0.21273146371264928\n",
      "第  26000 次循环，成本为0.21232758870309454\n",
      "第  27000 次循环，成本为0.2119511930830476\n",
      "第  28000 次循环，成本为0.2115996496847822\n",
      "第  29000 次循环，成本为0.21127063539172294\n",
      "第  30000 次循环，成本为0.21096209027852467\n",
      "第  31000 次循环，成本为0.2106721829748801\n",
      "第  32000 次循环，成本为0.2103992812042238\n",
      "第  33000 次循环，成本为0.2101419266361328\n",
      "第  34000 次循环，成本为0.20989881334599658\n",
      "第  35000 次循环，成本为0.20966876930197412\n",
      "第  36000 次循环，成本为0.20945074040200518\n",
      "第  37000 次循环，成本为0.20924377666697203\n",
      "第  38000 次循环，成本为0.20904702026369804\n",
      "第  39000 次循环，成本为0.2088596950864057\n",
      "第  40000 次循环，成本为0.20868109767003282\n",
      "第  41000 次循环，成本为0.20851058924544028\n",
      "第  42000 次循环，成本为0.2083475887766385\n",
      "第  43000 次循环，成本为0.20819156684497542\n",
      "第  44000 次循环，成本为0.20804204026579343\n",
      "第  45000 次循环，成本为0.20789856734016154\n",
      "第  46000 次循环，成本为0.20776074365857347\n",
      "第  47000 次循环，成本为0.20762819838547728\n",
      "第  48000 次循环，成本为0.20750059096357965\n",
      "第  49000 次循环，成本为0.2073776081853776\n",
      "第  50000 次循环，成本为0.2072589615865829\n",
      "第  51000 次循环，成本为0.2071443851222316\n",
      "第  52000 次循环，成本为0.2070336330914956\n",
      "第  53000 次循环，成本为0.20692647828168162\n",
      "第  54000 次循环，成本为0.20682271030572572\n",
      "第  55000 次循环，成本为0.20672213411078502\n",
      "第  56000 次循环，成本为0.20662456863835665\n",
      "第  57000 次循环，成本为0.20652984561879736\n",
      "第  58000 次循环，成本为0.20643780848523485\n",
      "第  59000 次循环，成本为0.2063483113936867\n",
      "第  60000 次循环，成本为0.20626121833779898\n",
      "第  61000 次循环，成本为0.20617640234799464\n",
      "第  62000 次循环，成本为0.20609374476602743\n",
      "第  63000 次循环，成本为0.20601313458699072\n",
      "第  64000 次循环，成本为0.20593446786174396\n",
      "第  65000 次循环，成本为0.20585764715352883\n",
      "第  66000 次循环，成本为0.2057825810432473\n",
      "第  67000 次循环，成本为0.20570918367849614\n",
      "第  68000 次循环，成本为0.20563737436199422\n",
      "第  69000 次循环，成本为0.20556707717551653\n",
      "第  70000 次循环，成本为0.20549822063587464\n",
      "第  71000 次循环，成本为0.20543073737985063\n",
      "第  72000 次循环，成本为0.2053645638753242\n",
      "第  73000 次循环，成本为0.20529964015612287\n",
      "第  74000 次循环，成本为0.20523590957838053\n",
      "第  75000 次循环，成本为0.20517331859642232\n",
      "第  76000 次循环，成本为0.20511181655639363\n",
      "第  77000 次循环，成本为0.20505135550603135\n",
      "第  78000 次循环，成本为0.2049918900191394\n",
      "第  79000 次循环，成本为0.20493337703346853\n",
      "第  80000 次循环，成本为0.20487577570083254\n",
      "第  81000 次循环，成本为0.2048190472484036\n",
      "第  82000 次循环，成本为0.20476315485023364\n",
      "第  83000 次循环，成本为0.2047080635081369\n",
      "第  84000 次循环，成本为0.20465373994115385\n",
      "第  85000 次循环，成本为0.2046001524828866\n",
      "第  86000 次循环，成本为0.20454727098606335\n",
      "第  87000 次循环，成本为0.2044950667337472\n",
      "第  88000 次循环，成本为0.2044435123566596\n",
      "第  89000 次循环，成本为0.20439258175613353\n",
      "第  90000 次循环，成本为0.20434225003225678\n",
      "第  91000 次循环，成本为0.20429249341680428\n",
      "第  92000 次循环，成本为0.20424328921059198\n",
      "第  93000 次循环，成本为0.204194615724918\n",
      "第  94000 次循环，成本为0.20414645222678346\n",
      "第  95000 次循环，成本为0.2040987788876155\n",
      "第  96000 次循环，成本为0.2040515767352317\n",
      "第  97000 次循环，成本为0.2040048276088137\n",
      "第  98000 次循环，成本为0.20395851411667096\n",
      "第  99000 次循环，成本为0.20391261959659837\n",
      "准确率：91%\n"
     ]
    },
    {
     "data": {
      "image/png": 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ecEEpHAc8V5FMG1hWfy1u6bpLIqWIRoV4wgjDUHeQ/SYImgzMqayU+jGl1DGl1Cnge4H/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      "text/plain": [
       "<matplotlib.figure.Figure at 0x244c6afca20>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 正式运行\n",
    "parameters = nn_model(X, Y, n_h=4, num_iterations=100000,print_cost=True)\n",
    "\n",
    "# 绘制边界\n",
    "plot_decision_boundary(lambda x:predict(parameters, x.T), X, Y)\n",
    "plt.title(\"Decision Boundary for hidden layer size\" + str(4))\n",
    "\n",
    "predictions = predict(parameters, X)\n",
    "print(\"准确率：%d\" % float((np.dot(Y, predictions.T) + np.dot(1-Y, 1-predictions.T))/float(Y.size)*100) + '%')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "隐藏层的节点数量： 1  ，准确率: 67.25 %\n",
      "隐藏层的节点数量： 2  ，准确率: 66.5 %\n",
      "隐藏层的节点数量： 3  ，准确率: 89.25 %\n",
      "隐藏层的节点数量： 4  ，准确率: 90.0 %\n",
      "隐藏层的节点数量： 5  ，准确率: 89.75 %\n",
      "隐藏层的节点数量： 20  ，准确率: 90.0 %\n",
      "隐藏层的节点数量： 50  ，准确率: 89.75 %\n"
     ]
    },
    {
     "data": {
      "image/png": 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WVLU5/UhrGBm3iUb3N2UlGjMYHrNYmneb018MA06djZBb81ld7tyJDcL5eB6M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a6XfoBILo/5W7egGEZ9/4AjUeTGxrC7MH+sr6uHFdiqBMVwPDNrGIBiIoKnr13Fw1/5GhTD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\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vyG4AU4pMLZaMhCClMRFK4DiDL5xmI5j7cQAg08j7fp1wjgTMa3kOxjjqNQ9mgwUynWsY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\nWRERERERkQPuQCWyi8ZLY0poRUREREREDqgDmcguUjIrIiIiI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84cnJMMtyt39jE+8uSx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Kay02x9PxHE4g2fAorraw/Qg/YVAZS9PJnO7OpZFlUB1LUx1Lk665lFZamMHggDYyFP/3j/8d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\ngSwRERERERENlP8PD8kRjl8tBNcAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x244c6ba2b00>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(16, 32))\n",
    "hidden_layer_sizes = [1, 2, 3, 4, 5, 20, 50] #隐藏层数量\n",
    "for i, n_h in enumerate(hidden_layer_sizes):\n",
    "    plt.subplot(5, 2, i + 1)\n",
    "    plt.title('Hidden Layer of size %d' % n_h)\n",
    "    parameters = nn_model(X, Y, n_h, num_iterations=5000)\n",
    "    plot_decision_boundary(lambda x: predict(parameters, x.T), X, Y)\n",
    "    predictions = predict(parameters, X)\n",
    "    accuracy = float((np.dot(Y, predictions.T) + np.dot(1 - Y, 1 - predictions.T)) / float(Y.size) * 100)\n",
    "    print (\"隐藏层的节点数量： {}  ，准确率: {} %\".format(n_h, accuracy))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
